Zou Rui, Yu Zi-Xian, Guo Ze-Hua, Dai Hao-Zheng, Zhang Qiang, Liu Wei-Wen, Cao Cheng-Xi
School of Automation and Sensing,Shanghai Jiao Tong University,Shanghai 200240,China.
Se Pu. 2025 Sep;43(9):1070-1077. doi: 10.3724/SP.J.1123.2024.12017.
Specific protein detection plays a crucial role in biological analysis and clinical diagnostics, serving as an essential tool for disease diagnosis, therapeutic monitoring, and biological research. However, conventional methods such as immunofixation electrophoresis (IFE) and western blotting (WB) suffer from complex workflows, time-consuming operations, and limited quantification capabilities owing to intricate staining and de-staining procedures. In addition, these traditional immunological detection methods require extensive manual handling and specialized expertise, while low levels of automation restrict their applicability to high-throughput or large-scale analysis scenarios. Moreover, the multistep nature of these methods increases the risk of experimental errors and compromises quantification accuracy.Herein, we present a quantitative protein immune polyacrylamide gel electrophoresis (PAGE) detection method that combines immune-recognition principles with online fluorescence imaging technology, thereby offering a rapid and specific approach for quantifying target proteins. The developed method exploits the specificity of fluorescently labeled antibodies and the separation capability of PAGE, with formaldehyde crosslinking used to stabilize antigen-antibody complexes under the denaturing conditions of electrophoresis, thereby ensuring reliable quantification. The entire experimental workflow can be completed within 1.5 h and consists of three main steps. Firstly, the target protein is incubated with fluorescently labeled antibodies at room temperature for 0.5 h to form immune complexes, after which they are crosslinked using formaldehyde. The cross-linked samples are then loaded onto polyacrylamide gels and separated under optimized electrophoresis conditions (120 V, 15 min; 150 V, 15 min; 200 V, 15 min). Electrophoretic separation is finally monitored in real-time using an online fluorescence imaging system, which enables direct visualization of protein migration and eliminates the need for post-separation processing. Three distinct bands are observed on the precast gel following immune PAGE separation: the immune complexes at the uppermost position, the free fluorescent antibodies in the middle, and other proteins at the bottom. ImageJ software is used to analyze the electrophoresis pattern, and quantification is achieved based on the linear relationship between the fluorescence intensity of the free antibody and the mass concentration of the target protein. We systematically validated the performance of the method using human transferrin (TRF) as the model antigen protein and fluorescein-isothiocyanate-labeled (FITC-labeled) anti-TRF IgG antibody (anti-TRF IgG-FITC) as the detection probe, which involved analyzing three key aspects: the necessity of the formaldehyde-crosslinking step for maintaining immune complex stability, antibody recognition specificity in complex samples, and the linear correlation between the fluorescence signal and the mass concentration of the target protein. The method exhibited excellent analytical performance, with a linear range that extended between 5.0 and 200.0 mg/L and a correlation coefficient () of 0.993 0. Triplicate measurements of fluorescence intensity at all mass concentration points revealed a maximum relative standard deviation (RSD) of 1.65%. The limit of detection (LOD) reaches 0.5 mg/L, with recoveries between 98.2% and 105.0%. Repeatability experiments revealed maximum intra- and inter-day RSDs of 1.21% and 1.58%, respectively. Specificity testing confirmed that the developed method accurately quantified TRF without interference from other proteins in complex samples. These results highlight the good accuracy, excellent consistency, high sensitivity, and robust specificity of the developed method, thereby confirming its reliability for use in precise protein-quantification applications. Compared to traditional PAGE methods, the immune PAGE method introduced herein provides the ability to selectively quantify specific target proteins online using real-time fluorescence imaging technology. The method exhibits several notable advantages, including high resolution, a simple workflow, strong specificity, rapid analysis, and good reproducibility. The online fluorescence imaging system eliminates the need for complex gel-dismantling, membrane-transfer, fixation, staining, and de-staining steps while effectively preventing protein band broadening, thereby enabling highly sensitive quantitative analyses with superior resolution. The cost-effectiveness of the developed method is achieved through economical fluorescently labeled antibodies and low sample consumption. Moreover, the fundamental principle of the immune PAGE method suggests that this approach is readily adaptable to the quantification of other proteins through the judicious selection of specific fluorescently labeled antibodies. Consequently, the versatility of the developed method makes it a comprehensive analytical platform suitable for pharmaceutical preparations and clinical diagnostics, in which rapid and accurate protein quantification is essential for decision-making processes. Additionally, this method is an ideal choice for high-throughput applications in both academic research and industrial settings owing to the integration of automated analysis and short operation times. The protein immune PAGE method represents a significant advancement in specific protein quantification methodology with great potential as a promising tool that is expected to be widely adopted in various biological analysis scenarios.
特定蛋白质检测在生物分析和临床诊断中起着至关重要的作用,是疾病诊断、治疗监测和生物学研究的重要工具。然而,传统方法如免疫固定电泳(IFE)和蛋白质印迹法(WB)存在工作流程复杂、操作耗时以及由于复杂的染色和脱色程序导致定量能力有限等问题。此外,这些传统免疫检测方法需要大量人工操作和专业知识,而自动化程度低限制了它们在高通量或大规模分析场景中的适用性。而且,这些方法的多步骤性质增加了实验误差的风险并影响定量准确性。在此,我们提出一种定量蛋白质免疫聚丙烯酰胺凝胶电泳(PAGE)检测方法,该方法将免疫识别原理与在线荧光成像技术相结合,从而为定量目标蛋白质提供了一种快速且特异的方法。所开发的方法利用荧光标记抗体的特异性和PAGE的分离能力,在电泳变性条件下使用甲醛交联来稳定抗原 - 抗体复合物,从而确保可靠的定量。整个实验工作流程可在1.5小时内完成,包括三个主要步骤。首先,将目标蛋白质与荧光标记抗体在室温下孵育0.5小时以形成免疫复合物,之后用甲醛进行交联。然后将交联后的样品加载到聚丙烯酰胺凝胶上,并在优化的电泳条件下(120 V,15分钟;150 V,15分钟;200 V,15分钟)进行分离。最后使用在线荧光成像系统实时监测电泳分离过程,该系统能够直接观察蛋白质迁移情况并无需进行分离后处理。免疫PAGE分离后在预制凝胶上观察到三条明显的条带:最上面位置的免疫复合物、中间的游离荧光抗体以及底部的其他蛋白质。使用ImageJ软件分析电泳图谱,并基于游离抗体的荧光强度与目标蛋白质质量浓度之间的线性关系进行定量。我们以人转铁蛋白(TRF)作为模型抗原蛋白,以异硫氰酸荧光素标记(FITC标记)的抗TRF IgG抗体(抗TRF IgG - FITC)作为检测探针,系统地验证了该方法的性能,这涉及分析三个关键方面:甲醛交联步骤对于维持免疫复合物稳定性的必要性、复杂样品中抗体识别的特异性以及荧光信号与目标蛋白质质量浓度之间的线性相关性。该方法表现出优异的分析性能,线性范围在5.0至200.0 mg/L之间,相关系数()为0.993 0。在所有质量浓度点对荧光强度进行三次重复测量,最大相对标准偏差(RSD)为1.65%。检测限(LOD)达到0.5 mg/L,回收率在98.2%至105.0%之间。重复性实验显示日内和日间最大RSD分别为1.21%和1.58%。特异性测试证实所开发的方法能够准确地定量TRF,不受复杂样品中其他蛋白质的干扰。这些结果突出了所开发方法良好的准确性、出色的一致性、高灵敏度和强大的特异性,从而证实了其在精确蛋白质定量应用中的可靠性。与传统PAGE方法相比,本文介绍的免疫PAGE方法能够使用实时荧光成像技术在线选择性地定量特定目标蛋白质。该方法具有几个显著优点,包括高分辨率、简单的工作流程、强特异性、快速分析和良好的重现性。在线荧光成像系统无需复杂的凝胶拆卸、转膜、固定、染色和脱色步骤,同时有效防止蛋白条带变宽,从而能够进行具有卓越分辨率的高灵敏度定量分析。所开发方法的成本效益通过经济的荧光标记抗体和低样品消耗得以实现。此外,免疫PAGE方法的基本原理表明,通过明智地选择特定的荧光标记抗体,该方法很容易适用于其他蛋白质的定量。因此,所开发方法的多功能性使其成为一个适用于药物制剂和临床诊断的综合分析平台,在其中快速准确的蛋白质定量对于决策过程至关重要。此外,由于集成了自动化分析和较短的操作时间,该方法是学术研究和工业环境中高通量应用的理想选择。蛋白质免疫PAGE方法代表了特定蛋白质定量方法的重大进展,作为一种有前途的工具具有巨大潜力,有望在各种生物分析场景中得到广泛应用。